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<div class="textblock"><code>#include &quot;<a class="el" href="_i_c_l_simple2_d_kernel_8h_source.xhtml">arm_compute/core/CL/ICLSimple2DKernel.h</a>&quot;</code><br />
<code>#include &lt;cstdint&gt;</code><br />
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<p><a href="_c_l_convolution_kernel_8h_source.xhtml">Go to the source code of this file.</a></p>
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Data Structures</h2></td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml">CLConvolutionKernel&lt; matrix_size &gt;</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Interface for the kernel to run an arbitrary size convolution on a tensor.  <a href="classarm__compute_1_1_c_l_convolution_kernel.xhtml#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml">CLSeparableConvolutionHorKernel&lt; matrix_size &gt;</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight"><a class="el" href="classarm__compute_1_1_kernel.xhtml" title="Kernel class. ">Kernel</a> for the Horizontal pass of a Separable Convolution.  <a href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml">CLSeparableConvolutionVertKernel&lt; matrix_size &gt;</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight"><a class="el" href="classarm__compute_1_1_kernel.xhtml" title="Kernel class. ">Kernel</a> for the Vertical pass of a Separable Convolution.  <a href="classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml">CLConvolutionRectangleKernel</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight"><a class="el" href="classarm__compute_1_1_kernel.xhtml" title="Kernel class. ">Kernel</a> for the running convolution on a rectangle matrix.  <a href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml#details">More...</a><br /></td></tr>
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<tr class="memdesc:namespacearm__compute"><td class="mdescLeft">&#160;</td><td class="mdescRight">This file contains all available output stages for GEMMLowp on OpenCL. <br /></td></tr>
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<tr class="memitem:a4751499f1c526c7285e7e946c2e84541"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute.xhtml#a4751499f1c526c7285e7e946c2e84541">CLConvolution3x3Kernel</a> = CLConvolutionKernel&lt; 3 &gt;</td></tr>
<tr class="memdesc:a4751499f1c526c7285e7e946c2e84541"><td class="mdescLeft">&#160;</td><td class="mdescRight">Interface for the kernel which applies a 3x3 convolution to a tensor.  <a href="namespacearm__compute.xhtml#a4751499f1c526c7285e7e946c2e84541">More...</a><br /></td></tr>
<tr class="separator:a4751499f1c526c7285e7e946c2e84541"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac4cfbdf439d7bf5d420546298bd5ca0d"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute.xhtml#ac4cfbdf439d7bf5d420546298bd5ca0d">CLConvolution5x5Kernel</a> = CLConvolutionKernel&lt; 5 &gt;</td></tr>
<tr class="memdesc:ac4cfbdf439d7bf5d420546298bd5ca0d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Interface for the kernel which applies a 5x5 convolution to a tensor.  <a href="namespacearm__compute.xhtml#ac4cfbdf439d7bf5d420546298bd5ca0d">More...</a><br /></td></tr>
<tr class="separator:ac4cfbdf439d7bf5d420546298bd5ca0d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a99a54c937a254c96cd1a29a96ffa7dcf"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute.xhtml#a99a54c937a254c96cd1a29a96ffa7dcf">CLConvolution7x7Kernel</a> = CLConvolutionKernel&lt; 7 &gt;</td></tr>
<tr class="memdesc:a99a54c937a254c96cd1a29a96ffa7dcf"><td class="mdescLeft">&#160;</td><td class="mdescRight">Interface for the kernel which applies a 7x7 convolution to a tensor.  <a href="namespacearm__compute.xhtml#a99a54c937a254c96cd1a29a96ffa7dcf">More...</a><br /></td></tr>
<tr class="separator:a99a54c937a254c96cd1a29a96ffa7dcf"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a908439cd5cf8253865d5c70a413fd607"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute.xhtml#a908439cd5cf8253865d5c70a413fd607">CLConvolution9x9Kernel</a> = CLConvolutionKernel&lt; 9 &gt;</td></tr>
<tr class="memdesc:a908439cd5cf8253865d5c70a413fd607"><td class="mdescLeft">&#160;</td><td class="mdescRight">Interface for the kernel which applies a 9x9 convolution to a tensor.  <a href="namespacearm__compute.xhtml#a908439cd5cf8253865d5c70a413fd607">More...</a><br /></td></tr>
<tr class="separator:a908439cd5cf8253865d5c70a413fd607"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac72d613f7270604dbcad2553c278b16c"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute.xhtml#ac72d613f7270604dbcad2553c278b16c">CLSeparableConvolution5x5HorKernel</a> = CLSeparableConvolutionHorKernel&lt; 5 &gt;</td></tr>
<tr class="memdesc:ac72d613f7270604dbcad2553c278b16c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Interface for the kernel which applies a horizontal pass of 5x5 convolution to a tensor.  <a href="namespacearm__compute.xhtml#ac72d613f7270604dbcad2553c278b16c">More...</a><br /></td></tr>
<tr class="separator:ac72d613f7270604dbcad2553c278b16c"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aab26624bf4b326f8145b2909a5042004"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute.xhtml#aab26624bf4b326f8145b2909a5042004">CLSeparableConvolution7x7HorKernel</a> = CLSeparableConvolutionHorKernel&lt; 7 &gt;</td></tr>
<tr class="memdesc:aab26624bf4b326f8145b2909a5042004"><td class="mdescLeft">&#160;</td><td class="mdescRight">Interface for the kernel which applies a horizontal pass of 7x7 convolution to a tensor.  <a href="namespacearm__compute.xhtml#aab26624bf4b326f8145b2909a5042004">More...</a><br /></td></tr>
<tr class="separator:aab26624bf4b326f8145b2909a5042004"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a9f34ccad344bc43d25e8be2b828853aa"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute.xhtml#a9f34ccad344bc43d25e8be2b828853aa">CLSeparableConvolution9x9HorKernel</a> = CLSeparableConvolutionHorKernel&lt; 9 &gt;</td></tr>
<tr class="memdesc:a9f34ccad344bc43d25e8be2b828853aa"><td class="mdescLeft">&#160;</td><td class="mdescRight">Interface for the kernel which applies a horizontal pass of 9x9 convolution to a tensor.  <a href="namespacearm__compute.xhtml#a9f34ccad344bc43d25e8be2b828853aa">More...</a><br /></td></tr>
<tr class="separator:a9f34ccad344bc43d25e8be2b828853aa"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac7295b0d8d71be75033238ad7fbba38c"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute.xhtml#ac7295b0d8d71be75033238ad7fbba38c">CLSeparableConvolution5x5VertKernel</a> = CLSeparableConvolutionVertKernel&lt; 5 &gt;</td></tr>
<tr class="memdesc:ac7295b0d8d71be75033238ad7fbba38c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Interface for the kernel which applies a vertical pass of 5x5 convolution to a tensor.  <a href="namespacearm__compute.xhtml#ac7295b0d8d71be75033238ad7fbba38c">More...</a><br /></td></tr>
<tr class="separator:ac7295b0d8d71be75033238ad7fbba38c"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a0ffdf01e236016ce8d366a69875d1375"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute.xhtml#a0ffdf01e236016ce8d366a69875d1375">CLSeparableConvolution7x7VertKernel</a> = CLSeparableConvolutionVertKernel&lt; 7 &gt;</td></tr>
<tr class="memdesc:a0ffdf01e236016ce8d366a69875d1375"><td class="mdescLeft">&#160;</td><td class="mdescRight">Interface for the kernel which applies a vertical pass of 7x7 convolution to a tensor.  <a href="namespacearm__compute.xhtml#a0ffdf01e236016ce8d366a69875d1375">More...</a><br /></td></tr>
<tr class="separator:a0ffdf01e236016ce8d366a69875d1375"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a6d08e1e881bf611c1e1b9e2bb8810d19"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute.xhtml#a6d08e1e881bf611c1e1b9e2bb8810d19">CLSeparableConvolution9x9VertKernel</a> = CLSeparableConvolutionVertKernel&lt; 9 &gt;</td></tr>
<tr class="memdesc:a6d08e1e881bf611c1e1b9e2bb8810d19"><td class="mdescLeft">&#160;</td><td class="mdescRight">Interface for the kernel which applies a vertical pass of 9x9 convolution to a tensor.  <a href="namespacearm__compute.xhtml#a6d08e1e881bf611c1e1b9e2bb8810d19">More...</a><br /></td></tr>
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